Analyzing NBA team data to find revenue opportunities; where franchises leave money on the table and how data can grow ticket, brand, and sponsorship income.
NLP pipeline analyzing 105k+ job postings to measure the AI-skills hiring explosion (2023-2026), validated against Lightcast/JobLeads benchmarks.
Predictive model to forecast daily bike rental demand in Chicago, developed using machine learning techniques on historical data to support data-driven city planning and optimize bike-sharing services.
End-to-end bookstore data pipeline built with Python and PostgreSQL, featuring ETL, SQL analytics, NumPy statistics, and Matplotlib, Seaborn, PyWaffle & Folium visualizations.
A relational hospital database with Python + SQL analytics on admissions, readmissions, and costs.
An interactive operational dashboard for monitoring manufacturing line metrics, equipment efficiency (OEE), throughput, and real-time factory floor telemetry.
Quantifying information degradation in multi-agent AI systems. An experiment passing prompts sequentially through GPT-4o, Claude 3.5, Gemini, Deepseek, Groq and Llama 3 (Ollama) to measure and visualize semantic drift
Real Estate Market Analysis in St. Petersburg: Exploratory data analysis and insights based on Yandex.Real Estate dataset. Relevant for data-driven decision-making in marketing and management, as well as fraud detection and prevention
Developed an interactive Power BI dashboard to analyze India road accident data, identifying trends, severity patterns, high-risk states, and the impact of weather and alcohol involvement using data modeling and visual analytics.
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